The article brings together the Microsoft Azure Cloud with dtSearch to enable secure hosting of terabytes of a broad spectrum of data types combined with instant dtSearch search access from nearly any computer or device.

Building mobile apps, many developers hesitate on platform priority, iOS or Android. If you do not want to waste time learning the new programming languages (Swift or Java) you can opt for web technology. The article will show how to make a mobile barcode reader based on Browser/Server architecture.

A JavaScript webcam SDK for Windows with DirectShow under the hood. Quickly build online webcam viewer with a few lines of HTML and JavaScript code. Control and adjust camera settings within web browsers.

Based on the topics covered and the examples cited in this paper, hopefully you are convinced that the technology advancements, especially those emulating the human brain and eye, are evolving at a fast pace and may soon replace the human eye.

In this blog post we will explain transfer learning and some of its applications, explain how neon can be used for transfer learning, walk through example code that uses neon for transferring a pre-trained model to a new dataset, and discuss the merits of transfer learning with some results

Intel’s new Deep Learning tools (with the upcoming integration of Nervana’s cloud stack) are designed to hide/reduce the complexity of strong scaling time-to-train and model deployment tradeoffs on resource-constrained edge devices without compromising the performance need.

BigDL is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can run directly on top of existing Spark or Hadoop clusters.

Today we’ll take a close look at exactly how retailers are using machine learning technologies to maximize their business. To do so, we’ll talk about the application programming interface (API). If you have a technical background, chances are that you might be familiar with and using this important

This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm when running it on systems equipped with Intel® Xeon® processors.

In this article, we will talk about criteria you can use to select correct algorithms based on two real-world machine learning problems that were taken from the well-known Kaggle platform used for predictive modeling and from analytics competitions where data miners compete to produce the best model

Whether it's live video streaming, live and video on demand transcoding solutions, or virtual set-top boxes, you must position your business to transition to ubiquitous video demands (video for everyone, anywhere, on any device.)

Several open source projects that are being integrated into open source Lustre are designed to improve reliability, flexibility, and performance, align the enterprise-grade features built into ZFS with Lustre, and enhance functionality that eases Lustre deployments on ZFS.

IoT supports many ways to transfer data, and Bluetooth® LE, or Wi-Fi (to name a few) may not be the right fit for every device. The goal of this article is to make your selection easier by exploring the advantages and practical application examples for each technology.

This tutorial will discuss four different methods for controlling the LEDs using the command line, memory mapped IO, schematic, and Verilog HDL to the field-programmable gate array of the Cyclone V device.

This is the first in a series of tutorials providing information for developers who want to build, install, and explore TensorFlow optimized on Intel architecture from sources available in the GitHub repository.

In this article, we discuss our teachings about data science in a series of steps so that any product manager or business manager interested in exploring this science will be able take their first step toward becoming a data scientist or at least develop a deeper understanding of this science.

Intel is uniquely positioned for AI development—the Intel’s AI Ecosystem offers solutions for all aspects of AI by providing a unified front end for a variety of backend technologies, from hardware to edge devices.

Get to your development goal with hardware, software, and data solutions that work together seamlessly, at scale—and securely. From the cloud right out the to the edge, Intel® IoT Technology offers a complete ecosystem for the connected future.

This tutorial shows you how to create the hardware equivalent of “Hello World”: a blinking LED. This is a simple exercise to get you started using the Intel® Quartus® Prime Software Lite edition software for FPGA development.

In this article, I explain how the AvaTax API takes a potentially difficult and frustrating task—i.e., building integrations to calculate sales tax—and makes it really fast and easy. (Spoiler alert: it helps to work with detailed documentation and lots of sample code.)

Intel Parallel Studio XE isn’t just a tool to help you profile your applications, it’s a suite that enhances Microsoft Visual Studio and gives you deep insight into the performance of your applications.